Triple

T12810619
Position Surface form Disambiguated ID Type / Status
Subject Kelvin Harrison Jr. E306260 entity
Predicate givenName P17 FINISHED
Object Kelvin E167630 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kelvin | Statement: [Kelvin Harrison Jr., givenName, Kelvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelvin
Context triple: [Kelvin Harrison Jr., givenName, Kelvin]
  • A. kelvin chosen
    Kelvin is the SI base unit of thermodynamic temperature, used to measure absolute temperature from absolute zero upward.
  • B. Rankine
    Rankine is a surname most notably associated with Claudia Rankine, the acclaimed poet, playwright, and essayist known for her explorations of race and identity.
  • C. Celsius
    Celsius is a temperature scale used worldwide in science and daily life, defined by 0° as the freezing point and 100° as the boiling point of water at standard atmospheric pressure.
  • D. Lowther
    Lowther is a small village and civil parish in Cumbria, England, known for its historic Lowther Castle and scenic setting near the River Lowther.
  • E. Kapitsa
    Kapitsa is a Russian surname most notably associated with a family of prominent physicists, including Nobel laureate Pyotr Kapitsa and science popularizer Sergei Kapitsa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec89eb081909915af6e2216e0a2 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.